The World Cup of Event Processing

Kaiwen Zhang.

July 2014.
Big Data Summer School.


Event-based systems differ themselves from other Big Data processing challenges by treating data streams as ephemeral entities while queries are long-lived notifications. This paradigm is useful for enabling large scale asynchronous applications in a variety of domains. This talk provides an overview of various event processing-related techniques, application scenarios, and system architectures. Various event processing systems are then put to the test as they compete in the scenario of soccer match monitoring.


Tags: application performance management, apm, big data, bpm, event processing, event processing systems, grand challenge, soccer monitoring, blue bay

Readers who enjoyed the above work, may also like the following:

  • Solving Big Data Challenges for Enterprise Application Performance Management.
    Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen, Sergio Gomez-Villamor, Victor Muntes-Mulero, and Serge Mankovskii.
    In Proceedings of the 38th Conference on Very Large Databases (VLDB), 2012.
    Tags: big data, apm, application performance management, key-value stores, benchmarking
  • Solving Manufacturing Equipment Monitoring Through Efficient Complex Event Processing.
    Tilmann Rabl, Kaiwen Zhang, Mohammad Sadoghi, Navneet Kumar Pandey, Aakash Nigam, Chen Wang, and Hans-Arno Jacobsen.
    In Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems, 2012.
    Best DEBS Challenge Award - Public Voting.
    Tags: event processing, grand challenge